Development and validation of reassigned CEA, CYFRA21-1 and NSE-based models for lung cancer diagnosis and prognosis prediction.

ABSTRACT:

Background

The majority of lung cancer(LC) patients are diagnosed at advanced stage with a poor prognosis. However, there is still no ideal diagnostic and prognostic prediction model for lung cancer.

Methods

Data of CEA, CYFRA21-1 and NSE test of patients with LC and benign lung diseases (BLDs) or healthy people from Physical Examination Center was collected. Samples were divided into three data sets as needed. Reassign three kinds of tumor markers (TMs) according to their distribution characteristics in different populations. Diagnostic and prognostic models were thus established, and independent validation was conducted with other data sets.

Results

The diagnostic prediction model showed good discrimination ability: the area under the receiver operating characterist

SUBMITTER: Yuan J 

PROVIDER: S-EPMC9214980 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature